A. T. Rezakhani
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Daniel A. LidarS. AlipourMasoud MohseniPaolo ZanardiMohammad MehboudiAlioscia HammaJason DominyGerardo A. Paz-Silva
- Topics
- Quantum Information and Cryptography (36 papers)Quantum Mechanics and Applications (27 papers)Quantum Computing Algorithms and Architecture (27 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- IranUnited StatesCanada
In The Last Decade
A. T. Rezakhani
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 1.0k
- Atomic and Molecular Physics, and Optics 1.0k
- Statistical and Nonlinear Physics 227
- Electrical and Electronic Engineering 70
- Materials Chemistry 52
Countries citing papers authored by A. T. Rezakhani
This map shows the geographic impact of A. T. Rezakhani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. T. Rezakhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. T. Rezakhani more than expected).
Fields of papers citing papers by A. T. Rezakhani
This network shows the impact of papers produced by A. T. Rezakhani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. T. Rezakhani. The network helps show where A. T. Rezakhani may publish in the future.
Co-authorship network of co-authors of A. T. Rezakhani
This figure shows the co-authorship network connecting the top 25 collaborators of A. T. Rezakhani. A scholar is included among the top collaborators of A. T. Rezakhani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. T. Rezakhani. A. T. Rezakhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 29 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 50 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 148 | |
| 11 | 85 | |
| 12 | 30 | |
| 13 | 112 | |
| 14 | 18 | |
| 15 | Adiabatic approximation with better than exponential accuracy for many-body systems and quantum computation | 2 |
| 16 | 2 | |
| 17 | Characterization of two-qubit perfect entanglers (9 pages) | 2 |
| 18 | 59 | |
| 19 | 14 | |
| 20 | 6 |
About A. T. Rezakhani
A. T. Rezakhani is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (36 papers), Quantum Mechanics and Applications (27 papers) and Quantum Computing Algorithms and Architecture (27 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.0k citations), Artificial Intelligence (1.0k citations) and Statistical and Nonlinear Physics (227 citations). A. T. Rezakhani has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Daniel A. Lidar, S. Alipour, Masoud Mohseni, Paolo Zanardi, Mohammad Mehboudi, Alioscia Hamma, Jason Dominy, Gerardo A. Paz-Silva, Fabio Benatti and Vahid Karimipour. Their work appears in journals such as Physical Review Letters, Physical Review B and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.